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Saisai Shao commented on SPARK-16428: ------------------------------------- bq. Spark detected those files with the above terminal output on my Ubuntu 15.10 laptop, but not on my colleague's Windows 7 Enterprise laptop. Can you please elaborate this? I'm not sure why files will be deleted, from my understanding Spark Streaming will not delete processed files, I'm not sure what are you particularly mentioned about "those files"? > Spark file system watcher not working on Windows > ------------------------------------------------ > > Key: SPARK-16428 > URL: https://issues.apache.org/jira/browse/SPARK-16428 > Project: Spark > Issue Type: Bug > Components: Examples, Input/Output, Spark Core, Windows > Affects Versions: 1.6.2 > Environment: Ubuntu 15.10 64 bit, Windows 7 Enterprise 64 bit > Reporter: John-Michael Reed > Priority: Blocker > > Two people tested Apache Spark on their computers... > [Spark Download - http://i.stack.imgur.com/z1oqu.png] > We downloaded the version of Spark prebuild for Hadoop 2.6, went to the > folder /spark-1.6.2-bin-hadoop2.6/, created a "tmp" directory, went to that > directory, and ran: > $ bin/run-example org.apache.spark.examples.streaming.HdfsWordCount tmp > I added arbitrary files content1 and content2dssdgdg to that "tmp" directory. > ------------------------------------------- > Time: 1467921704000 ms > ------------------------------------------- > (content1,1) > (content2dssdgdg,1) > ------------------------------------------- > Time: 1467921706000 ms > Spark detected those files with the above terminal output on my Ubuntu 15.10 > laptop, but not on my colleague's Windows 7 Enterprise laptop. > This is preventing us from getting work done with Spark. > Link: > http://stackoverflow.com/questions/38254405/spark-file-system-watcher-not-working-on-windows -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org